2023
DOI: 10.1097/adm.0000000000001197
|View full text |Cite
|
Sign up to set email alerts
|

Trends in Cannabis-positive Urine Toxicology Test Results: US Veterans Health Administration Emergency Department Patients, 2008 to 2019

Abstract: Objectives This study aimed to examine trends in cannabis-positive urine drug screens (UDSs) among emergency department (ED) patients from 2008 to 2019 using data from the Veterans Health Administration (VHA) health care system, and whether these trends differed by age group (18–34, 35–64, and 65–75 years), sex, and race, and ethnicity. Method VHA electronic health records from 2008 to 2019 were used to identify the percentage of unique VHA patients see… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
2

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 36 publications
0
3
0
Order By: Relevance
“…Finally, cannabis use variables could have appeared to increase due to reductions in stigma leading to greater reporting over time. However, our findings that urine toxicology tests positive for cannabis in VHA patients also increased over time 38 suggests that the increases in prevalence of the self-reported cannabis measures in both datasets were not entirely due to reduced stigma of cannabis use. 38 In conclusion, this study adds to evidence that the adult prevalences of any past-year non-medical use, frequent non-medical use and CUD are increasing faster among individuals with psychiatric disorders than among individuals without psychiatric disorders.…”
Section: Discussionmentioning
confidence: 66%
See 1 more Smart Citation
“…Finally, cannabis use variables could have appeared to increase due to reductions in stigma leading to greater reporting over time. However, our findings that urine toxicology tests positive for cannabis in VHA patients also increased over time 38 suggests that the increases in prevalence of the self-reported cannabis measures in both datasets were not entirely due to reduced stigma of cannabis use. 38 In conclusion, this study adds to evidence that the adult prevalences of any past-year non-medical use, frequent non-medical use and CUD are increasing faster among individuals with psychiatric disorders than among individuals without psychiatric disorders.…”
Section: Discussionmentioning
confidence: 66%
“…However, our findings that urine toxicology tests positive for cannabis in VHA patients also increased over time 38 suggests that the increases in prevalence of the self-reported cannabis measures in both datasets were not entirely due to reduced stigma of cannabis use. 38 In conclusion, this study adds to evidence that the adult prevalences of any past-year non-medical use, frequent non-medical use and CUD are increasing faster among individuals with psychiatric disorders than among individuals without psychiatric disorders. The consistency of findings between the older data from representative samples of adults in the general population with the more recent findings on data across among veteran patients treated at the VHA supports the validity of each, and suggests that information gleaned from VHA data may have applicability and utility to patient groups beyond those treated by the VHA.…”
Section: Discussionmentioning
confidence: 66%
“…5 The main outcome was ≥1 UDS positive for Δ-9-tetrahydrocannabinol (THC) metabolite during an ED visit in a given year. 6 To estimate the role of MCL and RCL enactment in the national increases in cannabis positive UDS prevalence using all yearly information from 2008 to 2019, a staggered adoption difference-in-difference (DiD) model was used. 7 The DiD estimates for MCL-only and MCL/RCL associations were obtained from a linear binomial regression model with fixed effects for state, categorical year, time-varying law status, individual-level covariates (age, sex, race/ethnicity), and time-varying state-level covariates (age, sex, race/ethnicity, income, poverty, unemployment).…”
Section: Methodsmentioning
confidence: 99%